Distributed Coordination Theory for Robot Teams by Ashton Roza
Distributed Coordination Theory for Robot Teams develops control algorithms to coordinate the motion of autonomous teams of robots in order to achieve some desired collective goal.-
Statistical Physics I
-
Hybrid Integrator-Gain Systems
-
Matrix-Weighted Graphs
-
Robust Control for Discrete-Time Markovian Jump Systems in the Finite-Time Domain
-
Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems
-
Advances in H∞ Control Theory
-
Security and Resilience of Control Systems
-
Data-Driven, Nonparametric, Adaptive Control Theory
-
Identification for Automotive Systems
-
Networked Embedded Sensing and Control
-
Optimization and Optimal Control in Automotive Systems
-
Optimization Based Clearance of Flight Control Laws
-
Fault Detection and Flight Data Measurement
-
Analysis and Synthesis of Networked Control Systems
-
Advanced Topics in Control and Estimation of State-Multiplicative Noisy Systems
-
Automotive Model Predictive Control
-
Robust Control and Linear Parameter Varying Approaches
-
Modeling and Identification of Linear Parameter-Varying Systems
-
Complexity, Analysis and Control of Singular Biological Systems
-
Frequency Domain Criteria for Absolute Stability
-
Search and Classification Using Multiple Autonomous Vehicles
-
Advances in the Theory of Control, Signals and Systems with Physical Modeling
-
Perspectives in Mathematical System Theory, Control, and Signal Processing
-
Robot Motion and Control 2011
-
Saturated Switching Systems
-
Finite-Time Stability and Control
-
Robustness in Identification and Control
-
Realization Probabilities
-
Advances in Filtering and Optimal Stochastic Control
-
Robust Stability and Convexity
-
Interactive Multi-Objective Programming as a Framework for Computer-Aided Control System Design
-
Variational and Hamiltonian Control Systems
-
Robot Motion Planning and Control
-
Learning Automata and Stochastic Optimization
-
Intelligent Control and Automation
-
Realization Theory of Continuous-Time Dynamical Systems
-
Modeling, Estimation, and Their Applications for Distributed Parameter Systems
-
Optimal Feedback Control
-
An Expert Systems Approach to Computer-Aided Design of Multivariable Systems
-
Distributed Decision Making and Control
-
Stochastic Models for Laser Propagation in Atmospheric Turbulence
-
New Directions in Nonlinear Observer Design
-
Safe Adaptive Control
-
Recursive Nonlinear Estimation
-
Detection of Abrupt Changes in Signals and Dynamical Systems
Ashton Roza received the Bachelor of Applied Science (BASc) degree in Electrical Engineering in 2010 from the University of Waterloo, Canada. He received the Master of Applied Science (MASc) degree in 2012 and the PhD degree in 2019, both from the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Canada. His research focuses on the application of nonlinear control and geometric methods to coordination in networks of autonomous robots. He has published papers in the IEEE Transactions on Automatic Control and IEEE Transactions on Control of Networked Systems.
Manfredi Maggiore was born in Genoa, Italy. He received the "Laurea" degree in Electronic Engineering in 1996 from the University of Genoa and the PhD degree in Electrical Engineering from the Ohio State University, USA, in 2000. Since 2000 he has been with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Canada, where he is currently Professor. He has been a visiting Professor at the University of Bologna (2007-2008), and the Laboratoire des Signaux et Systèmes, Ecole CentraleSupélec (2015-2016, 2017, 2018). His research focuses on mathematical nonlinear control, and relies on methods from dynamical systems theory and differential geometry. In 2018, he won the Faculty Teaching Award at the University of Toronto. Dr. Maggiore has co-authored two books with Wiley and Springer. He is Associate Editor of the IEEE Transactions on Control Systems Technology and Control Engineering Practice.
Luca Scardovi received the Laurea degree and Ph.D. degree in Electronic and Computer Engineering from the University of Genoa, Italy, in 2001 and 2005 respectively. He held research associate positions at the Department of Electrical Engineering and Computer Science at the University of Liège, Belgium (2005-2007) and at the Department of Mechanical and Aerospace Engineering at Princeton University (2007-2009). From 2009 to 2011 he was an Assistant Professor at the Technische Universität München, Munich, Germany. Since 2011 he has been with the Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Canada, where he is currently Associate Professor. In 2018 he was a Visiting Scientist at the Biocore Institute at INRIA Sophia Antipolis, France, and a Visiting Professor at the University of Cagliari, Italy. His research interests focus on dynamical systems with special emphasis in the analysis and control of emergent dynamics in networked dynamical systems. He is an Associate Editor for the journals Systems & Control Letters and IEEE Control Systems Letters.
| SKU | Unavailable |
| ISBN 13 | 9783030960896 |
| ISBN 10 | 3030960897 |
| Title | Distributed Coordination Theory for Robot Teams |
| Author | Ashton Roza |
| Series | Lecture Notes In Control And Information Sciences |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer Nature Switzerland AG |
| Year published | 2023-05-17 |
| Number of pages | 149 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |